InteractiveFACTSand demand response program as an incremental welfare consensus for maximizing wind power penetration

Abstract

This article deals with congestion management of transmission networks to maximize the penetration of wind power by proposing an incremental welfare consensus algorithm based on flexible alternating current transmission systems (FACTS) and demand response (DR) program. The proposed model takes the locational marginal prices as an input to manage both FACTS device and DR resources. To this end, an innovative two-stage market-clearing procedure is developed. Where in the first stage, the players bid to the market aimed at maximizing their profit, and the independent system operator clears the market based on social welfare maximization. In the second stage, a generation redispatch problem is executed in which FACTS device controllers and incentivebased DR are optimally coordinated to minimize the rescheduling costs of generation companies. Two distinct types of FACTS devices consisting of thyristor controlled series capacitor and static synchronous compensator are utilized here. Finally, a case study is accomplished on the modified IEEE one-area 24-bus reliability test system. The results achieved from simulations confirm that the proposed interactive DR and FACTS model not only alleviates the congestion of the system, but also increases the flexibility of the system to harvest the wind power as much as possible.

Adaptive Parameter Estimation for Static Var Generators Based on Wind Speed Fluctuation of Wind Farms

“…Owing to their wide operating range and fast adjustment speed, SVGs are widely used in wind farms to compensate for reactive power and to improve the voltage quality at the grid connection point. e accuracy of the SVG parameters determines the reliability of the power system and affects the dispatching operations of wind farms [2][3][4].…”

“…e SVG model was divided into low wind speed, high wind speed, and full wind speed models by analyzing the sensitivity of the parameters at each wind speed. (2) In each wind speed model, the parameters are classified based on the sensitivity analysis. Strongly correlated observations are selected to identify low and high wind speed models, and the identified optimal parameters are used as the initial parameter values of the multimode hybrid identification algorithm.…”

Profit‐based evaluation of optimal FACTS devices planning for the large consumers and TRANSCO considering uncertainty

“…Nowadays, the activities related to the flexible 1 and cost‐efficient operation 2 of power systems are of high importance for the system's operators. One of the challenging issues in these systems is keeping the power quality within a convenient range 3 .…”

Probabilistic integrated framework for AC / DC transmission congestion management considering system expansion, demand response, and renewable energy sources and load uncertainties

“…Modification of the load curve pattern can also be considered as an effective CM strategy, which has become more feasible in modern power systems due to the increase in flexible and smart loads. Demand response programs (DRPs) can be employed to effectively modify the load curve pattern and consequently alleviate the congestion 6,7 . The high‐voltage direct current (HVDC) transmission lines have become a focal part of the transmission system in recent years.…”

“…Demand response programs (DRPs) can be employed to effectively modify the load curve pattern and consequently alleviate the congestion. 6,7 The high-voltage direct current (HVDC) transmission lines have become a focal part of the transmission system in recent years. Especially in Europe, offshore wind farms are connected via voltage-source converters (VSCs) and modular multi-level converters (MMCs), allowing HVDC systems to be operated in multi-terminal and/or meshed grid configurations.…”